Anatole D. is an emerging professional with diverse experience in technology and engineering. Notable roles include a position as a Statistics Teaching Assistant at EPFL, where Anatole D. taught Probability & Statistics for Engineers, and a Student Research Developer at Université de Lausanne, where a computer vision prototype for markerless joint motion analysis was independently built. Additionally, Anatole D. participated in a selective Portal Program at Jane Street, solving puzzles and collaborating with peers. As a WWDC Scholar at Apple, innovative work on voting theory and app design was undertaken, culminating in an invitation to Cupertino headquarters. Currently, Anatole D. is an incoming Software Engineer Intern at Uber, focusing on the Traffic and Imagery department, and is furthering education at KTH Royal Institute of Technology in Switzerland.
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